Bolivia vs Peru

Bolivia vs Peru: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 164.5 nights in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 15 nights, or 1.09 times that in Peru.

nights a year · CMIP6

Bolivia vs Peru: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 164.5 nights in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 15 nights, or 1.09 times that in Peru.
BoliviaPeruCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bolivia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bolivia at 210.8 nights and Peru at 192.3 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaPeru
2014179.5164.5
2013176.3163.1
2012177164.8
2011177.2164.3
2010176.7163.3
2009175.9162.3
2008174.1162
2007169159.8
2006169.8159.1
2005170.5159.3
2004175.5161.8
2003170.6160.5
2002173.3159.9
2001172.9160.7
2000169158
1999167.3155.7
1998170.7157.4
1997167.7156.1
1996163.3152.2
1995164.4152.1
1994162.7150.8
1993160.4148.5
1992155.4144
1991169.7156
1990172158.3
1989164.4153.2
1988161.5151.2
1987162.5152
1986163.8153.4
1985157.8149
1984159.8148.3
1983156.8145.4
1982164.2151.4
1981166.5153.1
1980162.2150.9
1979162.7150.5
1978161.1149.1
1977161150.3
1976160.1147.5
1975155.5142.1
1974160.5148.6
1973160.5151.5
1972158.8147.6
1971156.7145.7
1970155.1145.6
1969155.7147
1968155.9146
1967153.3142.3
1966156.7145.7
1965154.2143.3
1964150.7141.6
1963148.4135.9
1962157.9148.9
1961158.7146.5
1960160.3149.8
1959159146.1
1958157.5149.1
1957159.3148.7
1956154.5144
1955160.3148.3
1954159.7148.7
1953157.8148.2
1952159.1148.1
1951157.6147.2
1950158.6147.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaPeru
2015177.7162.4–194.8164.3148.5–174.9
2016177.1155.9–190.7163.4149.8–171.5
2017179.6164.6–190.9165.5155–175.2
2018177.8162.1–196.3165152.9–176.6
2019180.1164.5–199.9163.7151–176.8
2020180.5162–200.6165.3151.6–176.2
2021185.6169.2–197.3167.6154.7–177.3
2022184.7165.7–200.5169.5156.6–179.2
2023181.3166.6–196.7167.1156.3–178.4
2024187.1168.2–202.1170.6157.3–180.2
2025183.5168.8–195.7168.6155–179.9
2026182.5164.8–198.1167.8153.3–179.7
2027182.7165–201.6168.3155.2–178.8
2028186.3169.6–200.3169.8158.3–179.9
2029192.5175.6–205.4174162.8–181.7
2030185.5161.7–204.2168.1153.2–180.6
2031189.2166.2–205.3172.5156.2–183.7
2032189.7173.8–209.6173.2162.7–184.7
2033188.2167.7–204.1172156.5–181
2034188172.2–207.8171.6158.7–185.6
2035186.7169.1–206.1172159.3–184.1
2036190.5173.5–205.2172.5160.7–183.2
2037195.3181.4–208.5175.6166.3–185.3
2038189.2174.7–207.8175.8164.6–184.9
2039192.7175.7–205.5174.1162.7–185
2040192.3176.8–204.2175.4163.9–187
2041193.9179–209176.5165.3–186.1
2042191.3171.9–207.6176.3161.9–189.7
2043191.2174.4–209.9174.8163.7–185.3
2044194.5179.1–209.4175.3161.9–188.2
2045194.4180.2–209177.3165.5–186.9
2046194.8181.4–213180.3167.4–189.9
2047196.5181.4–213.3178.6167.5–189
2048200.2184.6–212.8181.2168.2–192.2
2049199.8181.3–214.4180.4168.1–189.8
2050196.3173.9–210.9178.6166.4–190.8
2051198.5184.2–213.3180.3168.5–190.6
2052200.6185.7–214.8181.5170.8–191.7
2053198182.1–211179.5168.3–190.8
2054195.9179.8–211180.1167.3–193.9
2055201.2187.1–215181.7171–194.8
2056201.3181.5–216.1182.2170–193
2057200.6184.3–214.4181.6168.7–193
2058200.8182.8–216.5183.1169.4–195.5
2059203.2186.1–215.8184.6169.7–195.3
2060203.4186.2–219.7185.6171.1–197.1
2061197.9184–216.3182.7169.9–195.8
2062201.4186.2–219.1184.3168.7–196.9
2063201.5184.9–217184.6170.8–196.9
2064200.5184.6–216.1184.4170.1–194.8
2065204.9187.3–218.4186.3173.3–196.9
2066203.3186.8–218.1185.6172.3–197.4
2067203.6187.7–215.6184.3169.4–198.2
2068204.4188–218186.1172.1–198.3
2069203.8184.5–219184.9169–198.3
2070205.1188.3–221.4185.4171.8–198.4
2071203186.9–214.6187.3173.3–198.7
2072206186.6–221.5188.1174.9–199.8
2073206.5193.2–220.7187.6175.9–202.1
2074204.5184.1–219.5186.4169.5–198.9
2075203.8185.8–217.9186.4170.6–198.3
2076206.5190.1–220.4188.8174.2–201
2077209.1185.4–221.4189.1174.7–201.8
2078208.1192.7–222.9188.4175.6–202.3
2079204.7186.2–218.6188172–199.7
2080208.7192.4–221.1189.1172.8–201.7
2081208.1190.7–221.1188.4173.6–201.8
2082208.2189.7–220.1188.8174.8–199.7
2083209.3192.8–222.6189.9175.7–204.7
2084208.2193.3–223.1190.7176.3–204.4
2085210.4194–225192176.2–204.6
2086210.4189.7–225.4189.1175.4–204
2087207.9193.8–222189.1175.9–203.6
2088210.3193.4–225.2191.1174.7–204.9
2089208.2191.3–222.9190.1174.3–203
2090209.7195.5–225.2190.4177–206.2
2091209.7192.5–227.1192.6174.4–205.9
2092209.8192.1–223.9192.6176.6–204.7
2093209.4195.7–222.1190.6176–206
2094208.9194.6–222.7192.3178.2–204.1
2095210.3191.2–225.3193.4176.5–207.3
2096211.6193.9–225191.4176.2–207.6
2097208.6189.8–220.3190.7174.9–202.2
2098211.7196.2–226.5192.9177.8–208.9
2099211.2195.3–224191.5176.8–205
2100210.8195.8–226.8192.3176.6–205.6

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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